Jamie Layland

4.3k total citations · 2 hit papers
81 papers, 2.0k citations indexed

About

Jamie Layland is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jamie Layland has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 44 papers in Surgery and 40 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jamie Layland's work include Coronary Interventions and Diagnostics (40 papers), Cardiac Imaging and Diagnostics (39 papers) and Acute Myocardial Infarction Research (31 papers). Jamie Layland is often cited by papers focused on Coronary Interventions and Diagnostics (40 papers), Cardiac Imaging and Diagnostics (39 papers) and Acute Myocardial Infarction Research (31 papers). Jamie Layland collaborates with scholars based in Australia, United Kingdom and United States. Jamie Layland's co-authors include Keith G. Oldroyd, Colin Berry, David Carrick, Robert Whitbourn, Matthew M.Y. Lee, David Tong, Andrew I. MacIsaac, Andrew Wilson, L. Dawson and David L. Prior and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

Jamie Layland

74 papers receiving 1.9k citations

Hit Papers

Catheter Ablation Versus Medical Rate Control in Atrial F... 2017 2026 2020 2023 2017 2022 100 200 300

Peers

Jamie Layland
Thomas Aversano United States
Siddique Abbasi United States
Claudia Stelzig Switzerland
Jamie Layland
Citations per year, relative to Jamie Layland Jamie Layland (= 1×) peers Camilla Hage

Countries citing papers authored by Jamie Layland

Since Specialization
Citations

This map shows the geographic impact of Jamie Layland's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jamie Layland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Layland more than expected).

Fields of papers citing papers by Jamie Layland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Layland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jamie Layland. The network helps show where Jamie Layland may publish in the future.

Co-authorship network of co-authors of Jamie Layland

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Layland. A scholar is included among the top collaborators of Jamie Layland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jamie Layland. Jamie Layland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Layland, Jamie, et al.. (2025). Myocardial Viability: Evolving Insights and Challenges in Revascularization and Functional Recovery. Journal of Cardiovascular Development and Disease. 12(3). 106–106.
2.
Kim, Jiwon, Jamie Layland, Kevin Cheng, et al.. (2023). Peri-Coronary Adipose Tissue Is a Predictor of Stent Failure in Patients Undergoing Percutaneous Coronary Intervention. Cardiovascular revascularization medicine. 53. 61–66. 1 indexed citations
3.
Wong, Nathan D, Diem Dinh, Angela Brennan, et al.. (2022). Incidence, predictors and clinical implications of new renal impairment following percutaneous coronary intervention. Open Heart. 9(2). e001876–e001876. 2 indexed citations
4.
Dawson, L. & Jamie Layland. (2022). High-Risk Coronary Plaque Features: A Narrative Review. Cardiology and Therapy. 11(3). 319–335. 15 indexed citations
5.
Dawson, L., Stephen Quinn, David Tong, et al.. (2022). Colchicine and Quality of Life in Patients With Acute Coronary Syndromes: Results From the COPS Randomized Trial. Cardiovascular revascularization medicine. 44. 53–59. 2 indexed citations
6.
Dawson, L., et al.. (2022). Coronary Atherosclerotic Plaque Regression. Journal of the American College of Cardiology. 79(1). 66–82. 98 indexed citations breakdown →
7.
Htun, Nay, et al.. (2021). Colchicine to Prevent Periprocedural Myocardial Injury in Percutaneous Coronary Intervention: The COPE-PCI Pilot Trial. Circulation Cardiovascular Interventions. 14(5). e009992–e009992. 43 indexed citations
8.
Jayasena, Rajiv, Hang Ding, Mohan Karunanithi, et al.. (2021). Patient Perspectives on Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure (ITEC-CHF): Usability Study. JMIR Cardio. 5(2). e24611–e24611. 3 indexed citations
9.
Aslam, Anum, Julia Stehli, David M. Kaye, et al.. (2020). Gender Differences in Healthy Lifestyle Adherence Following Percutaneous Coronary Intervention for Coronary Artery Disease. Heart Lung and Circulation. 30(1). e37–e40. 17 indexed citations
10.
Ding, Hang, Rajiv Jayasena, Andrew Maiorana, et al.. (2020). The Effects of Telemonitoring on Patient Compliance With Self-Management Recommendations and Outcomes of the Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure: Randomized Controlled Trial. Journal of Medical Internet Research. 22(7). e17559–e17559. 60 indexed citations
11.
Tong, David, Robert Whitbourn, Andrew I. MacIsaac, et al.. (2018). High-Sensitivity C-Reactive Protein Is a Predictor of Coronary Microvascular Dysfunction in Patients with Ischemic Heart Disease. Frontiers in Cardiovascular Medicine. 4. 81–81. 22 indexed citations
13.
Adams, Heath, et al.. (2017). Age modulates the relationship between platelet-to-lymphocyte ratio and coronary artery disease. International Journal of Cardiology. 248. 349–354. 20 indexed citations
14.
Prabhu, Sandeep, Andrew J. Taylor, Ben Costello, et al.. (2017). Catheter Ablation Versus Medical Rate Control in Atrial Fibrillation and Systolic Dysfunction. Journal of the American College of Cardiology. 70(16). 1949–1961. 389 indexed citations breakdown →
15.
Nerlekar, Nitesh & Jamie Layland. (2015). Beyond FAMOUS-NSTEMI. Coronary Artery Disease. 26(Supplement 1). e27–e34.
16.
Layland, Jamie, Chris Judkins, Sonny Palmer, et al.. (2013). The resting status of the coronary microcirculation is a predictor of microcirculatory function following elective PCI for stable angina. International Journal of Cardiology. 169(2). 121–125. 11 indexed citations
17.
Yong, A., Jamie Layland, William F. Fearon, et al.. (2013). Calculation of the Index of Microcirculatory Resistance Without Coronary Wedge Pressure Measurement in the Presence of Epicardial Stenosis. JACC: Cardiovascular Interventions. 6(1). 53–58. 114 indexed citations
18.
Haq, Muhammad Asrar ul, et al.. (2013). The invasive assessment of coronary atherosclerosis and stents using optical coherence tomography: a clinical update. Heart Asia. 5(1). 154–161. 5 indexed citations
19.
Ahmed, Nadeem, David Carrick, Jamie Layland, Keith G. Oldroyd, & Colin Berry. (2012). The Role of Cardiac Magnetic Resonance Imaging (MRI) in Acute Myocardial Infarction (AMI). Heart Lung and Circulation. 22(4). 243–255. 30 indexed citations
20.
Layland, Jamie, Robert Whitbourn, Andrew I. MacIsaac, et al.. (2011). Low Coronary Blood Flow Pre-PCI Predicts Microvascular Dysfunction Following PCI in Patients with Stable Angina. Heart Lung and Circulation. 20. S135–S135. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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